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Python破解Google验证码ReCaptchav3的成功案例(附代码)(免费)(2022)

前言

破解谷歌验证码,其实并不需要用高深的法子,只需要借助一些免费资源,免费插件,就能达到很好的效果。

网上现在流传的几乎都说Google验证码ReCaptchav3得用深度学习,或者第三方收费打码网站,又或者抓住某些验证漏洞才能过,实际上,并不需要。这里我先从普通的验证码开始,介绍我破解Google验证码的思路以及个人成功案例。(全网独家,目前我各大搜索引擎找遍了都没有的,如需转发请注明本文来源)

(MCM/ICM)比特币和黄金组合投资策略的主体代码部分

前言

美赛论文对应主体代码部分,吐槽一句美赛居然不收代码也是离谱。

论文配套的代码均为本人编写,运行无问题。

感谢组员组长的配合论文撰写。

正文

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import numpy as np
import pandas as pd
import re,math
import matplotlib.pyplot as plt
from scipy.optimize import linprog


np.set_printoptions(suppress=True)
data1 = pd.read_csv(r'BCHAIN-MKPRU.csv') # B
data2 = pd.read_csv(r'LBMA-GOLD.csv') # G
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r_hex = '#dc2624'     # red,       RGB = 220,38,36
dt_hex = '#2b4750'    # dark teal, RGB = 43,71,80
tl_hex = '#45a0a2'    # teal,      RGB = 69,160,162
r1_hex = '#e87a59'    # red,       RGB = 232,122,89
tl1_hex = '#7dcaa9'   # teal,      RGB = 125,202,169
g_hex = '#649E7D'     # green,     RGB = 100,158,125
o_hex = '#dc8018'     # orange,    RGB = 220,128,24
tn_hex = '#C89F91'    # tan,       RGB = 200,159,145
g50_hex = '#6c6d6c'   # grey-50,   RGB = 108,109,108
bg_hex = '#4f6268'    # blue grey, RGB = 79,98,104
g25_hex = '#c7cccf'   # grey-25,   RGB = 199,204,207
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data1

(MCM/ICM)比特币和黄金组合投资策略

感谢组员组长的配合论文撰写。

1 Introduction

  1. Background and restatement of the problem

在如今金融迅猛发展的大背景下,交易员可以对众多的金融投资产品进行选择,并对其投资的波动性资产进行交易,以收获期望的回报。其中黄金和比特币为本文所选取的金融资产。比特币每天都进行交易而黄金只在开市日进行交易,且在交易中交易员需要支付对应比例的佣金。

(MCM/ICM)比特币和黄金组合投资策略的策略代码部分

前言

美赛论文对应策略代码部分,吐槽一句美赛居然不收代码也是离谱。

论文配套的代码均为本人编写,运行无碍。

感谢组员组长的配合论文撰写。

正文

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import numpy as np
import pandas as pd
import re,math
import matplotlib.pyplot as plt


np.set_printoptions(suppress=True)
B = pd.read_csv(r'B.csv') # B
H = pd.read_csv(r'H.csv') # H
Times = pd.read_csv(r'022.csv') # Time
B = B.set_index("Unnamed: 0")
H = H.set_index("Unnamed: 0")
Times = Times.set_index("Unnamed: 0")
# 先向前取值填充,再先后取值填充
BH = pd.merge(H.iloc[:,0:2], B.iloc[:,0:2], how='outer',on='0').sort_values('0',ascending=True)
BH = pd.merge(BH, H.iloc[:,0:3:2], how="left", on=["0"])
BH = pd.merge(BH, B.iloc[:,0:3:2], how="left", on=["0"]).fillna(0)
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H

Suzhou Carbon Neutral-Circular Development Creative Plan

前言

很水的比赛,官方求着收论文,说是保底有钱。。。。

英文译制版本。

感谢组员组长的配合论文撰写。

正文

Suzhou Carbon Neutral

Circular Development Creative Plan

https://gitee.com/spiritlhl/picture/raw/master/Aspose.Words.f08d9cc6-484a-49ad-828c-9af7be48fe5c.001.png

  1. Problem Analysis

1.1 Background brief

1.1.1 Problem introduction

In recent years, Suzhou has faced various new problems and challenges, such as economic transformation, low coordination between low-carbon development and social progress, and increased uncertainty in economic development, which has brought impacts and challenges to the realization of the carbon neutrality goal. However, due to the influence of many factors, such as excessive reliance on foreign transfer of primary energy, insufficient resource endowment, energy consumption mainly based on traditional fossil fuels such as coal, weak development of new energy and small market share, the overall impact of Suzhou has been directly or indirectly caused the higher carbon emissions.

苏州市碳中和-循环发展创意方案书

前言

很水的比赛,官方求着收论文,说是保底有钱。。。。

感谢组员组长的配合论文撰写。

正文

https://gitee.com/spiritlhl/picture/raw/master/Aspose.Words.6700f7ce-98ec-42eb-ad35-08ea593d2591.001.png

  1. 问题分析
    1. 背景简述
      1. 问题引入

近年来,苏州由于面临经济的转型、低碳发展与社会进步协调性降低、经济发展面临的不确定性增加等各种新问题、新挑战,给碳中和目标的实现带来的冲击与挑战。而一次能源过度依赖外地调入、资源禀赋不足、能源消费多以煤炭等传统化石燃料为主、新能源发展乏力且占市场份额较小等诸多因素的影响,直接或间接的造成了苏州整体的碳排放量较高的情况。

图片验证码增强技术(提高识别正确率)

直接使用原始图片做验证码识别正确率较低,使用增强技术后能大大提高识别率

黑底填充白底

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from PIL import Image
import os


def Convert(filename):
    """
    将图像中白色像素转变为黑色像素
    """
    img = Image.open(os.getcwd()+ "\\"+ filename)
    img = img.convert("RGBA")
    pixdata = img.load()
    for y in range(img.size[1]):
        for x in range(img.size[0]):
            if all(pixdata[x, y][i] > 220 for i in range(4)):
                pixdata[x, y] = 0, 0, 0
    try:
        os.remove("result.png")
    except Exception as e:
        print(e)
    # result.png 黑色填充白底彩色图
    img.save("result.png")
    print("Successfully: " + filename)


if __name__ == "__main__":
    # origin.png 彩色验证码图片
    Convert(r"origin.png")

彩色变黑白二值化增强